A5052307918- Software Engineering Research
- Open Source Software Innovations
- Software Engineering Techniques and Practices
- Web Data Mining and Analysis
- Cloud Computing and Resource Management
- Software System Performance and Reliability
- Peer-to-Peer Network Technologies
- Geophysical and Geoelectrical Methods
- Mobile Crowdsensing and Crowdsourcing
- Stochastic processes and financial applications
- Geophysical Methods and Applications
- Caching and Content Delivery
- Inertial Sensor and Navigation
- Distributed and Parallel Computing Systems
- Stochastic Gradient Optimization Techniques
- Service-Oriented Architecture and Web Services
- Wikis in Education and Collaboration
- Non-Destructive Testing Techniques
- Advanced Computational Techniques and Applications
- Advanced Algorithms and Applications
- Blind Source Separation Techniques
- Advanced Malware Detection Techniques
- Advanced Measurement and Detection Methods
- Geophysics and Gravity Measurements
- Mathematical and Theoretical Epidemiology and Ecology Models
Sutro Biopharma (United States)
2014-2025
Chongqing University
1997-2025
Nanjing University of Chinese Medicine
2022-2025
Central South University
2024
Xinjiang University
2022-2024
Hubei Institute of Fine Arts
2022
Hunan Academy of Agricultural Sciences
2022
National University of Defense Technology
2012-2021
Jilin University of Chemical Technology
2021
China Aerodynamics Research and Development Center
2018-2019
In this article, a strain sensor made from an epoxy-based nanocomposite using kind of multi-walled carbon nanotubes (MWNTs), i.e., LMWNT-10, was investigated. It found that the piezoresistivity is linear and anti-symmetric in tensile compressive states within large range, which different another type MWNTs, MWNT-7, our previous reports. This very suitable for practical applications. experiments, both static dynamic responses two sensors were measured. The experimental results indicate...
In a typical large-scale data center, set of applications are hosted over virtual machines (VMs) running on large number physical (PMs). Such virtualization technique can be used for conserving power consumption by minimizing the PMs that should turned according to application requirements resource. However, resource demands VMs is dynamic in nature since user requests handle rapidly changing practice. It great challenge online reconfigure (i.e., optimize and locations VMs) demands....
Pull-Request (PR) is the primary method for code contributions from thousands of developers in GitHub. To maintain quality software projects, PR review an essential part distributed development. Assigning new PRs to appropriate reviewers will make process more effective which can reduce time between submission a and actual it. However, reviewer assignment now organized manually this cost, we propose recommender predict highly relevant incoming PRs. Combining information retrieval with social...
The asymptotic properties of extensions the type distributed or decentralized stochastic approximation proposed in [1] are developed. Such algorithms have numerous potential applications estimation, detection and adaptive control, Monte Carlo simulation for system optimization (where they can exploit possibilities parallel processing). structure involves several isolated processors (recursive algorithms) that communicate to each other asynchronously at random intervals. (small gain) derived....
Social coding paradigm is reshaping the distributed software development with a surprising speed in recent years. Github, remarkable social community, attracts huge number of developers short time. Various kinds networks are formed based on activities among developers. Why this new can achieve such great success attracting external developers, and how they connected massive interesting questions for revealing power paradigm. In paper, we firstly compare growth curves project user GitHub...
Github facilitates the pull-request mechanism as an outstanding social coding paradigm by integrating with media. The review process of pull-requests is a typical crowd sourcing job which needs to solicit opinions community. Recommending appropriate reviewers can reduce time between submission and actual it. In this paper, we firstly extend traditional Machine Learning (ML) based approach bug triaging reviewer recommendation. Furthermore, analyze relations contributors reviewers, propose...
Currently, open source projects receive various kinds of issues daily, because the extreme openness Issue Tracking System (ITS) in GitHub. ITS is a labor-intensive and time-consuming task issue categorization for project managers. However, contributor only required short textual abstract to report an Thus, most traditional classification approaches based on detailed structured data (e.g., priority, severity, software version so on) are difficult adopt. In this paper, large-scale dataset,...
Monitoring marine debris has long been a challenging issue owing to the complex and changeable underwater environment. To fast accurately detect debris, in this article, novel object detection network termed as YOLOTrashCan is proposed for detecting debris. The model consists of feature enhancement fusion. In part, ECA_DO-Conv_CSPDarknet53 backbone, which combines efficient channel attention (ECA) module depthwise over-parameterized convolutional (DO-Conv), extract depth semantic features...
Magnetic dipole localization methods that rely on measurement of the magnetic field vector are compromised by relatively strong background geomagnetic field. A method uses only gradient tensor data is proposed. The equations established transforming Euler's equation degree −3 into −4 and using orthogonality intermediate eigenvector produced a source-sensor displacement vector. To measure quantities required in equations, we designed system which finite differences used to approximate first-...
A high-performance differential global positioning system (GPS) receiver with real time kinematics provides absolute localization for driverless cars. However, it is not only susceptible to multipath effect but also unable effectively fulfill precise error correction in a wide range of driving areas. This paper proposes an accurate GPS-inertial measurement unit (IMU)/dead reckoning (DR) data fusion method based on set predictive models and occupancy grid constraints. First, we employ...
The great success of numerous community-based open source software (OSS) is based on volunteers continuously submitting contributions, but ensuring sustainability a persistent challenge in OSS communities. Although the motivations behind and barriers to contributors' joining retention have been extensively studied, impacts of, reasons for solutions contribution abandonment at individual level not well especially pull-based development. To bridge this gap, we present an empirical study pull...
To improve the accuracy and reliability of orchard spraying robots, an integrated navigation system was developed, consisting a real-time kinematic positioning-Beidou satellite (RTK-BDS) receiver, inertial measurement unit (IMU), controller, servo motors. Using loose coupling combination method, error Kalman filter algorithm based on position heading angle is implemented to correct in real time. Combining kinematics model pure pursuit robot, path-tracking control proposed. Path planning...
Selection technologies such as ribosome display enable the rapid discovery of novel antibody fragments entirely in vitro. It has been assumed that open nature cell-free reactions used these limits selections to single-chain protein fragments. We present a simple approach for selection multi-chain proteins, Fab fragments, using display. Specifically, we show two-chain trastuzumab (Herceptin) domain can be displayed format which tethers either heavy or light chain while retaining functional...
Containerization is a software development approach aimed at packaging an application together with all its dependencies and execution environment in light-weight, self-contained unit, of which Docker has become the de-facto industry standard. By defining specific image architecture building orders, dockerfile plays important role Docker-based containerization process. Understanding evolution attributes enhance quality reduce build latency can benefit efficient processing containerization....
We treat an interesting class of "distributed" recursive stochastic algorithms (of the approximation type) that arises when parallel processing methods are used for Monte Carlo optimization systems, as well in applications such decentralized and asynchronous on-line flows communication networks. They arise generally where different (noisy) processors control components system state variable, compute communicate way. Since computation times random (data noise dependent) asynchronous, there is...